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  <front>
    <journal-meta id="journal-meta-1">
      <journal-id journal-id-type="nlm-ta">Innovative Journal</journal-id>
      <journal-id journal-id-type="publisher-id">Innovative Journal</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">http://jmbas.in/index.php/jmbas</journal-id>
      <journal-title-group>
        <journal-title>Journal of Medical Biomedical and Applied Sciences</journal-title>
      </journal-title-group>
      <isbn></isbn>
      <issn publication-format="electronic"></issn>
      <issn publication-format="print">2589-8779</issn>
      <publisher>
        <publisher-name>Innovative Journal</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta id="article-meta-1">
      <article-id pub-id-type="publisher-id"></article-id>
      <article-id pub-id-type="doi">https://doi.org/10.15520/jcmro.v3i01.248</article-id>
      <article-id pub-id-type="pmid"></article-id>
      <title-group>
        <article-title id="at-47f02a8bf899">
          <bold id="strong-1">A Cross Sectional Study of Type 2 Diabetes Mellitus Comparing Different Factors between Lean Body Weight, Non Obese and Obese Patients in Western Uttar Pradesh</bold>
        </article-title>
        <subtitle></subtitle>
        <trans-title-group>
          <trans-title></trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib id="c-6f3b1d1c4e8d" corresp="yes">
          <name id="n-11a84c939e6d">
            <surname>Shrivastav</surname>
            <given-names>Dr. Manish</given-names>
          </name>
          <email>drmanishkool@gmail.com</email>
          <xref id="x-443005ae4dd3" rid="a-c85d608b997c" ref-type="aff">1</xref>
        </contrib>
        <contrib id="c-78faabe57a6e">
          <name id="n-18e6e8140238">
            <surname>Kharkwal</surname>
            <given-names>Dr. Nihit</given-names>
          </name>
          <xref id="x-7fa95d1af688" rid="a-12a45f65951e" ref-type="aff">2</xref>
        </contrib>
        <contrib id="c-83bd5132103f">
          <name id="n-3eef19d54d94">
            <surname>Tiwari</surname>
            <given-names>Dr. Alankar</given-names>
          </name>
          <xref id="x-93018202a404" rid="a-e2065acaadf5" ref-type="aff">3</xref>
        </contrib>
        <contrib id="c-6ce68632e723">
          <name id="n-5f3fd8d3199f">
            <surname>Gupta</surname>
            <given-names>Dr. Keshav Kumar</given-names>
          </name>
          <xref id="x-506feef9f551" rid="a-44277eb67bf3" ref-type="aff">4</xref>
        </contrib>
        <aff id="a-c85d608b997c">
          <institution>Lala Lajpat Rai Medical College,Meerut</institution>
          <addr-line></addr-line>
        </aff>
        <aff id="a-12a45f65951e">
          <institution>Lala Lajpat Rai Medical College,Meerut, Post Doctoral TraineeDepartment of Endocrinology</institution>
          <addr-line></addr-line>
        </aff>
        <aff id="a-e2065acaadf5">
          <institution>Post Doctoral TraineeDepartment of Endocrinology Lala Lajpat Rai Medical College,Meerut</institution>
          <addr-line></addr-line>
        </aff>
        <aff id="a-44277eb67bf3">
          <institution>Professor and Head,Department of Endocrinology</institution>
          <addr-line></addr-line>
        </aff>
      </contrib-group>
      <volume>03</volume>
      <issue>01</issue>
      <fpage>1</fpage>
      <lpage></lpage>
      <page-range></page-range>
      <elocation-id></elocation-id>
      <permissions>
        <copyright-statement></copyright-statement>
        <copyright-year>2020</copyright-year>
      </permissions>
      <funding-group>
        <funding-statement></funding-statement>
      </funding-group>
      <author-notes>
        <fn fn-type="conflict">
          <p></p>
        </fn>
      </author-notes>
      <pub-date>
        <day>14</day>
        <month>1</month>
        <year>2020</year>
      </pub-date>
      <abstract id="abstract-fd5aab3ee24a">
        <title id="abstract-title-3079e9a7696a">Abstract:</title>
        <p id="t-963895bedd10"><bold id="s-92ab5e92e724">Introduction</bold>- Incidence and prevalence of diabetes mellitus has been increased quite rapidly from last decade. It was thought previously that obesity is one of the major predisposing risk factor and complications of diabetes would be more common and fatal in obese persons with diabetes, but it has been shown in more recent studies that some of the factors and peculiarities are much more common in patients with lean body mass. </p>
        <p id="p-9c43d9abcd30"><bold id="strong-2">Material and methods</bold>- This study was done in a tertiary care centre of western Uttar Pradesh over 240 cases of type 2 diabetes mellitus that were divided into three categories in equal proportion considering their body mass index (lean , non obese and obese ). Some of the factors like urine microscopy, fasting and post prandial glucose level, glycosylated hemoglobin, lipid profile and kidney functions were studied to find out the difference in level of above mentioned factors in these groups. </p>
        <p id="p-c4e96a0325a8"><bold id="strong-3">Results- </bold>Fasting blood glucose, post prandial blood glucose, glycosylated hemoglobin level, and triglyceride level came to be signinifiacntly higher in lean body mass group as compared to other two groups. As far as renal status is concerned there was no significant variation in different groups of diabetes mellitus. </p>
        <p id="p-18f9871e34bd"><bold id="strong-4">Conclusion- </bold>Present study showed that lean body weight type of type 2 diabetes mellitus are definitely different subset of population of type 2 diabetes mellitus with clinical characteristics different from other subtype i.e. non obese and obese in this region of country. <bold id="strong-5"> </bold></p>
        <p id="p-27419ed926bf"/>
      </abstract>
      <kwd-group id="kwd-group-1">
        <title>Keywords</title>
        <kwd>Hypercholesterolemia</kwd>
        <kwd>Microproteinuria</kwd>
        <kwd>Dyslipidemia</kwd>
        <kwd>BodyMassIndex</kwd>
        <kwd>Glycosylated</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="t-6c7335ac52b3">Introduction:</title>
      <p id="t-c759f72f9a57">Diabetes mellitus is most common non- communicable disorder in the world. By the year 2025 over 75% of the diabetic people are expected to be in developing countries as compared to 52 % in 1995. The greatest increase will be seen in Indians of 195% from 19 million. <bold id="s-42e5690c7248"/></p>
      <p id="p-fd9d2550013b">Diabetes mellitus comprises of common metabolic disorder that share the same phenotype of hyperglycemia. Depending upon etiology of diabetes mellitus, factors contributing to hyperglycemia may include reduced insulin secretion, decreased glucose utilization by body, increased glucose production. </p>
      <p id="p-817a767381ce">Two broad categories of diabetes mellitus are designated. </p>
      <p id="p-5672547875ce"/>
      <list list-type="ordered">
        <list-item id="list-item-1">
          <p>Type 1 diabetes mellitus</p>
        </list-item>
        <list-item id="list-item-2">
          <p>Type 2 diabetes mellitus</p>
        </list-item>
      </list>
      <p id="p-91db4d35bc2a">Type 1 is immune mediated and there is absolute deficiency of insulin. Type 2 is generally associated with obesity in western population but in India type 2 diabetes mellitus are of (1)  normal body weight, (2) obese and (3) persons with low body weight(lean) [BMI &lt;20]. As far as far as diabetes in India is concerned, vast majority are found to be non obese, in contrast to WHO prediction of 60-80 percent to obese, and almost one fourth has a habitus to be called a lean (BMI&lt;20) (WHO study group on diabetes mellitus, 1985). In multicentric study involving nine centers all over the country (1984-1990) the incidence of lean type 2 diabetes mellitus was observed to be 11 to 25 percent of all the diabetics’ diagnosed diabetes mellitus. Epidemiological data over the past decades have shown that the pattern and profile of type 2 diabetes mellitus are very different in India compared to the west<xref id="x-6acf09d01d96" rid="R66226115604640" ref-type="bibr">1</xref> <sup id="superscript-1"> </sup> In 1965 Tripathi and Kar highlighted that 27% of elderly diabetics were lean<xref id="x-dac60edc2608" rid="R66226115604723" ref-type="bibr">2</xref>.following that various studies in India have reported a prevalence of low body weight/lean type 2 diabetes mellitus ranging from 1.6% to 26%<xref rid="R66226115604724" ref-type="bibr">3</xref>,<xref rid="R66226115604725" ref-type="bibr">4</xref>,<xref rid="R66226115604726" ref-type="bibr">5</xref> . Markers of autoimmune destruction of beta cells are absent in vast majority of these patients<xref id="x-3eb59eedd2ad" rid="R66226115604726" ref-type="bibr">5</xref> .Homeostatic model assessments of Das <italic id="emphasis-1">et al</italic> suggest they are typical cases of type 2 diabetes and the low body weight does not reflect poor beta cell function or loss of body weight due to long st6anding uncontrolled diabetes. With this background, we will study the clinical and biochemical profile of diabetes patients in obese, non- obese and lean body habitus in western Uttar Pradesh, as there is no published data from this region. Idea of this study was to corroborate and compare the available data on low body weight type 2 diabetes mellitus in our present set up of population, whether they are real different subset of population or they do not merit any real markers for acquiring subset strategy. </p>
      <p id="p-e421b5fba5f3"/>
    </sec>
    <sec>
      <title id="t-deb4a0899dce">Materials and Methods:</title>
      <p id="t-153beef44beb">The study was undertaken in LALA LAJPAT RAI MEDICAL COLLEGE, MEERUT in department of human metabolism and endocrinology (HME). 240 cases of type 2 diabetes mellitus (80 cases of lean; 80 cases of non- obese; 80 cases of obese) were selected from ambulatory patients attending HME outpatient department and admitted patients in the HME wards from November 2018 to November 2019. </p>
      <p id="p-c762006c801f">
        <bold id="s-a68f3d7c7544">Inclusion criteria:</bold>
      </p>
      <p id="p-7c567bee9a09"/>
      <list list-type="ordered">
        <list-item id="li-7a33df5b2709">
          <p>All patients with type 2 diabetes mellitus irrespective of age, sex.</p>
        </list-item>
        <list-item id="li-052e5f6b8b14">
          <p>Diagnosis of diabetes mellitus was based on American Diabetes Association criteria. </p>
        </list-item>
        <list-item id="list-item-3">
          <p>Those given written consent. </p>
        </list-item>
      </list>
      <p id="p-914fc2d1caea">
        <bold id="s-fc124906b6d2">Exclusion criteria:</bold>
      </p>
      <list list-type="ordered">
        <list-item id="list-item-4">
          <p>Patients suffering from hepatic, cardoiorespiratory, endocrine and other systemic disease. </p>
        </list-item>
        <list-item id="list-item-5">
          <p>Pregnant female patients.</p>
        </list-item>
        <list-item id="list-item-6">
          <p>Known case of type 1 diabetes mellitus.</p>
        </list-item>
        <list-item id="list-item-7">
          <p>Patients receiving drugs causing hyperglycemia.</p>
        </list-item>
      </list>
      <p id="p-f2786306bec2">WHO expert committee on diabetes 2000 recommended the following concentration of glucose in venous blood estimated by normal enzymatic assay to be labeled as diabetes. Plasma glucose level is 15% higher than those of whole blood. </p>
      <p id="p-bf6769ef7369"/>
      <fig id="f-edff88b7784d" orientation="portrait" fig-type="graphic" position="anchor">
        <label>Figure 0 </label>
        <graphic id="g-a678eb64b796" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/cfeb0e00-83c7-4ea7-b384-c52dab1fb28c/image/58e7b4fd-80b4-4ac9-8470-76c6307f978a-uimage.png"/>
      </fig>
      <p id="p-0164449e3432"/>
      <p id="p-5ec366fa0eb7">After diagnosing the patients as type 2 diabetes mellitus, detailed interrogation and clinical examination using questionnaire detailed at the end of dissertation. Following points were highlighted in the general examination. </p>
      <p id="p-4e3fa253aab0"/>
      <list list-type="ordered">
        <list-item id="li-f28f7bdae104">
          <p>Body mass index (BMI) = Weight (kg)/Height (m)2</p>
        </list-item>
        <list-item id="li-989d9123b46a">
          <p>Blood pressure- measured in supine and standing position</p>
        </list-item>
      </list>
      <p id="p-c57ceb9bf9b9">Following laboratory investigations were carried out-</p>
      <list list-type="ordered">
        <list-item id="li-4f22dfcc2548">
          <p>Routine urine examination with special importance of sugar, protein, pus cells and rbc</p>
        </list-item>
        <list-item id="li-00332c8e4d8b">
          <p>Fasting blood glucose and post prandial blood glucose</p>
        </list-item>
        <list-item id="li-36d2999418b9">
          <p>Lipid profile including- total cholesterol, LDL cholesterol, HDL cholesterol, VLDL cholesterol and triglyceride.</p>
        </list-item>
        <list-item id="li-2ac0d733e54f">
          <p>Blood urea and serum creatinine</p>
        </list-item>
        <list-item id="li-75830360114e">
          <p>Glycosylated haemoglobin</p>
        </list-item>
      </list>
      <p id="p-827ec515d927">Statistical method- following method were used for statistical analysis of data of present study-</p>
      <list list-type="ordered">
        <list-item id="list-item-8">
          <p>Descriptive study</p>
        </list-item>
        <list-item id="list-item-9">
          <p>Contingency coefficient for categorical variables like- sex, socioeconomic status, family history and mode of presentation.</p>
        </list-item>
        <list-item id="list-item-10">
          <p>General linear model – multivariate with controlling for age for a set of dependent variables e.g. all the biochemical parameters across three fixed factor –lean, non obese and obese.</p>
        </list-item>
        <list-item id="list-item-11">
          <p>Post –hoc LSD statistic applied to examine group difference between lean, non obese and obese.</p>
        </list-item>
      </list>
      <p id="p-ee4f97c7cb67"> </p>
    </sec>
    <sec>
      <title id="t-011dcf072ef7">Results:</title>
      <p id="t-ac7359756ef3">In the following section the result and their subsequent analysis of relevant clinical and other investigations features have been detailed. 80 cases of lean type 2 diabetes mellitus, 80 cases of non obese type 2 diabetes mellitus (BMI &gt;20.25-&lt;25) and 80 cases of obese type 2 diabetes mellitus (BMI&gt;25) were selected for present study. <xref rid="tw-a762c4373343" ref-type="table">Table 1</xref>,<xref rid="tw-2e76cebfd587" ref-type="table">Table 2</xref>,<xref rid="tw-eaeacf6656e6" ref-type="table">Table 3</xref>,<xref rid="tw-88274a1f9017" ref-type="table">Table 4</xref>,<xref rid="tw-44424d29570e" ref-type="table">Table 5</xref>,<xref rid="tw-f9c4025156ca" ref-type="table">Table 6</xref>,<xref rid="tw-7a49dd2f2cec" ref-type="table">Table 7</xref>,<xref rid="tw-6e98dffa5c9f" ref-type="table">Table 8</xref> </p>
      <table-wrap id="tw-a762c4373343" orientation="portrait" position="anchor">
        <label>Table 1</label>
        <caption id="c-181b89ec3c3c">
          <title id="t-09d306ee1261">
            <bold id="s-73613e134850">showing distribution of subjects</bold>
          </title>
        </caption>
        <table id="t-9ea6c1888e7a" rules="rows">
          <colgroup/>
          <tbody id="ts-953daea2b14d">
            <tr id="tr-789d791ca103">
              <td id="tc-58792ede8eac" rowspan="2" align="left">Type of type 2 DM</td>
              <td id="tc-c8880b3f7719" rowspan="2" align="left">No. of cases</td>
              <td id="tc-32336746621a" colspan="2" align="left">male</td>
              <td id="tc-bfe6846fb46b" colspan="2" align="left">Female</td>
            </tr>
            <tr id="tr-14053ea7a649">
              <td id="tc-7a5724014b46" align="left">No.</td>
              <td id="tc-6c8f949e5f3d" align="left">%</td>
              <td id="tc-e1988258b720" align="left">No.</td>
              <td id="tc-63a13dff5362" align="left">%</td>
            </tr>
            <tr id="tr-85305d9c1f2d">
              <td id="tc-700019ab3d69" align="left">Lean</td>
              <td id="table-cell-10" align="left">80</td>
              <td id="table-cell-11" align="left">52</td>
              <td id="table-cell-12" align="left">65</td>
              <td id="table-cell-13" align="left">28</td>
              <td id="table-cell-14" align="left">35</td>
            </tr>
            <tr id="table-row-4">
              <td id="table-cell-15" align="left">Non obese</td>
              <td id="table-cell-16" align="left">80</td>
              <td id="table-cell-17" align="left">56</td>
              <td id="table-cell-18" align="left">70</td>
              <td id="table-cell-19" align="left">24</td>
              <td id="table-cell-20" align="left">30</td>
            </tr>
            <tr id="table-row-5">
              <td id="table-cell-21" align="left">Obese</td>
              <td id="table-cell-22" align="left">80</td>
              <td id="table-cell-23" align="left">36</td>
              <td id="table-cell-24" align="left">45</td>
              <td id="table-cell-25" align="left">44</td>
              <td id="table-cell-26" align="left">55</td>
            </tr>
            <tr id="table-row-6">
              <td id="table-cell-27" align="left">total</td>
              <td id="table-cell-28" align="left">240</td>
              <td id="table-cell-29" align="left">144</td>
              <td id="table-cell-30" align="left">60</td>
              <td id="table-cell-31" align="left">96</td>
              <td id="table-cell-32" align="left">40</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-34">Among lean cases 65% are male and 35% are female. Among non obese 70 % are male and 30 % are female. Among obese 45 % are male and 55 % cases are female.</p>
      <table-wrap id="tw-2e76cebfd587" orientation="portrait" position="anchor">
        <label>Table 2</label>
        <caption id="c-9d3e3ad4d682">
          <title id="t-ca52c2877a14">
            <bold id="s-30c2c4fe5bca">Base line data showing mean duration of diabetes in years, mean fasting and post prandial blood glucose and mean glycosylated hb% value- . </bold>
          </title>
        </caption>
        <table id="table-2" rules="rows">
          <colgroup/>
          <tbody id="table-section-2">
            <tr id="table-row-7">
              <td id="table-cell-33" align="left">Data</td>
              <td id="table-cell-34" align="left">Lean</td>
              <td id="table-cell-35" align="left">Non obese</td>
              <td id="table-cell-36" align="left">obese</td>
            </tr>
            <tr id="table-row-8">
              <td id="table-cell-37" align="left">Mean duration of diabetes in years</td>
              <td id="table-cell-38" align="left">5.5±3.45</td>
              <td id="table-cell-39" align="left">5.75±3.13</td>
              <td id="table-cell-40" align="left">6.1±2.19</td>
            </tr>
            <tr id="table-row-9">
              <td id="table-cell-41" align="left">Fasting blood glucose mg/dl</td>
              <td id="table-cell-42" align="left">226.5±17.78</td>
              <td id="table-cell-43" align="left">193.1±29.0</td>
              <td id="table-cell-44" align="left">206.65±29.18</td>
            </tr>
            <tr id="table-row-10">
              <td id="table-cell-45" align="left">Post prandial blood glucose mg/dl</td>
              <td id="table-cell-46" align="left">282.5±20.74</td>
              <td id="table-cell-47" align="left">248.65±36.13</td>
              <td id="table-cell-48" align="left">262.7±33.01</td>
            </tr>
            <tr id="table-row-11">
              <td id="table-cell-49" align="left">Glycosylated hemoglobin HbA1C</td>
              <td id="table-cell-50" align="left">9.15±1.01</td>
              <td id="table-cell-51" align="left">7.81±0.64</td>
              <td id="table-cell-52" align="left">8.44±0.952</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-56">Among lean subjects mean duration of diabetes, mean fasting and post prandial blood glucose and glycosylated hb values were 5.5 years, 226.5 mg/dl, 282.5 mg/dl, and 9.15 respectively. Among obese these values were 5.75 years, 193.1 mg/dl, 248.65 mg/dl and 7.81 respectively. While among obese these were 6.1 years, 206.65 mg/dl, 262.7 mg/dl and 8.44 respectively.</p>
      <table-wrap id="tw-eaeacf6656e6" orientation="portrait" position="anchor">
        <label>Table 3</label>
        <caption id="c-63132c28c1d5">
          <title id="t-664291779794">
            <bold id="s-a4cbc9ae17e1">Mean values of lipid profile in lean, non obese and obese type 2 diabetes mellitus-</bold>
          </title>
        </caption>
        <table id="table-3" rules="rows">
          <colgroup/>
          <tbody id="table-section-3">
            <tr id="table-row-12">
              <td id="table-cell-53" align="left">Lipid profile (mg/dl)</td>
              <td id="table-cell-54" align="left">lean</td>
              <td id="table-cell-55" align="left">Non obese</td>
              <td id="table-cell-56" align="left">Obese</td>
            </tr>
            <tr id="table-row-13">
              <td id="table-cell-57" align="left">Total cholesterol</td>
              <td id="table-cell-58" align="left">207.9±18.4</td>
              <td id="table-cell-59" align="left">227.5±22.0</td>
              <td id="table-cell-60" align="left">229.2±19.9</td>
            </tr>
            <tr id="table-row-14">
              <td id="table-cell-61" align="left">LDL cholesterol</td>
              <td id="table-cell-62" align="left">122.85±16.8</td>
              <td id="table-cell-63" align="left">149.4±25.0</td>
              <td id="table-cell-64" align="left">150.7±21.5</td>
            </tr>
            <tr id="table-row-15">
              <td id="table-cell-65" align="left">VLDL cholesterol</td>
              <td id="table-cell-66" align="left">38.1±4.7</td>
              <td id="table-cell-67" align="left">35.3±5.9</td>
              <td id="table-cell-68" align="left">33.8±3.9</td>
            </tr>
            <tr id="table-row-16">
              <td id="table-cell-69" align="left">HDL cholesterol</td>
              <td id="table-cell-70" align="left">46.0±6.8</td>
              <td id="table-cell-71" align="left">42.1±5.6</td>
              <td id="table-cell-72" align="left">44.1±8.6</td>
            </tr>
            <tr id="table-row-17">
              <td id="table-cell-73" align="left">triglycerides</td>
              <td id="table-cell-74" align="left">186.1±20.5</td>
              <td id="table-cell-75" align="left">170.9±24.7</td>
              <td id="table-cell-76" align="left">168.5±18.2</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-82">Mean values of total cholesterol and LDL cholesterol were highest in obese subjects. While mean values of VLDL cholesterol, HDL cholesterol and triglycerides were higher in lean subjects. <bold id="s-2c8ea46b644f"/></p>
      <p id="paragraph-83"/>
      <table-wrap id="tw-88274a1f9017" orientation="portrait" position="anchor">
        <label>Table 4</label>
        <caption id="c-3f9ee8851356">
          <title id="t-0ded04aed988">
            <bold id="s-9bb74d54c833">urinary changes in type 2 diabetes mellitus</bold>
          </title>
        </caption>
        <table id="table-4" rules="rows">
          <colgroup/>
          <tbody id="table-section-4">
            <tr id="table-row-18">
              <td id="table-cell-77" rowspan="2" align="left">Data</td>
              <td id="table-cell-78" colspan="2" align="left">lean</td>
              <td id="table-cell-79" colspan="2" align="left">Non obese</td>
              <td id="table-cell-80" colspan="2" align="left">obese</td>
            </tr>
            <tr id="table-row-19">
              <td id="table-cell-81" align="left">No.</td>
              <td id="table-cell-82" align="left">%</td>
              <td id="table-cell-83" align="left">No.</td>
              <td id="table-cell-84" align="left">%</td>
              <td id="table-cell-85" align="left">No.</td>
              <td id="table-cell-86" align="left">%</td>
            </tr>
            <tr id="table-row-20">
              <td id="table-cell-87" align="left">Sugar</td>
              <td id="table-cell-88" align="left">80</td>
              <td id="table-cell-89" align="left">100</td>
              <td id="table-cell-90" align="left">72</td>
              <td id="table-cell-91" align="left">90</td>
              <td id="table-cell-92" align="left">76</td>
              <td id="table-cell-93" align="left">95</td>
            </tr>
            <tr id="table-row-21">
              <td id="table-cell-94" align="left">Microproteinuria</td>
              <td id="table-cell-95" align="left">12</td>
              <td id="table-cell-96" align="left">15</td>
              <td id="table-cell-97" align="left">12</td>
              <td id="table-cell-98" align="left">15</td>
              <td id="table-cell-99" align="left">12</td>
              <td id="table-cell-100" align="left">15</td>
            </tr>
            <tr id="table-row-22">
              <td id="table-cell-101" align="left">Overt proteinuria</td>
              <td id="table-cell-102" align="left">4</td>
              <td id="table-cell-103" align="left">5</td>
              <td id="table-cell-104" align="left">8</td>
              <td id="table-cell-105" align="left">10</td>
              <td id="table-cell-106" align="left">16</td>
              <td id="table-cell-107" align="left">20</td>
            </tr>
            <tr id="table-row-23">
              <td id="table-cell-108" align="left">Pus cells</td>
              <td id="table-cell-109" align="left">4</td>
              <td id="table-cell-110" align="left">5</td>
              <td id="table-cell-111" align="left">-</td>
              <td id="table-cell-112" align="left"></td>
              <td id="table-cell-113" align="left">4</td>
              <td id="table-cell-114" align="left">5</td>
            </tr>
            <tr id="table-row-24">
              <td id="table-cell-115" align="left">rbc</td>
              <td id="table-cell-116" align="left">-</td>
              <td id="table-cell-117" align="left"></td>
              <td id="table-cell-118" align="left">2</td>
              <td id="table-cell-119" align="left">5</td>
              <td id="table-cell-120" align="left">-</td>
              <td id="table-cell-121" align="left"></td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-126">Sugar in urine was present in 100 % of lean patients and 90 % and 95 % in non obese and obese patients respectively. Microprotienuria was present in 15 % of each group. </p>
      <table-wrap id="tw-44424d29570e" orientation="portrait" position="anchor">
        <label>Table 5</label>
        <caption id="c-bfd78195f20d">
          <title id="t-a561fe77fc1c">
            <bold id="s-fa3a0b5aa8c8">mean values of blood urea and creatinine</bold>
          </title>
        </caption>
        <table id="table-5" rules="rows">
          <colgroup/>
          <tbody id="table-section-5">
            <tr id="table-row-25">
              <td id="table-cell-122" align="left">Type 2 diabetes mellitus</td>
              <td id="table-cell-123" align="left">Blood urea</td>
              <td id="table-cell-124" align="left">Serum creatinine</td>
            </tr>
            <tr id="table-row-26">
              <td id="table-cell-125" align="left">Lean</td>
              <td id="table-cell-126" align="left">30.2±17.0</td>
              <td id="table-cell-127" align="left">1.18±0.55</td>
            </tr>
            <tr id="table-row-27">
              <td id="table-cell-128" align="left">Non obese</td>
              <td id="table-cell-129" align="left">25.4±8.4</td>
              <td id="table-cell-130" align="left">1.12±0.30</td>
            </tr>
            <tr id="table-row-28">
              <td id="table-cell-131" align="left">obese</td>
              <td id="table-cell-132" align="left">25.2±14.3</td>
              <td id="table-cell-133" align="left">1.13±0.66</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-140">Mean values of urea and creatinine were highest in lean subjects among all the three groups.</p>
      <table-wrap id="tw-f9c4025156ca" orientation="portrait" position="anchor">
        <label>Table 6</label>
        <caption id="c-ce13b29ca745">
          <title id="t-57a83b7d5465">
            <bold id="s-dca2e7bb2f7e">General linear model multivariate controlling for age for a set of dependent variables across three fixed factors (lean, non obese and obese)</bold>
          </title>
        </caption>
        <table id="table-6" rules="rows">
          <colgroup/>
          <tbody id="table-section-6">
            <tr id="table-row-29">
              <td id="table-cell-134" align="left"></td>
              <td id="table-cell-135" align="left">Mean value of lean</td>
              <td id="table-cell-136" align="left">Mean value of non obese</td>
              <td id="table-cell-137" align="left">Mean value of obese</td>
              <td id="table-cell-138" align="left">F value</td>
              <td id="table-cell-139" align="left">significance</td>
              <td id="table-cell-140" align="left">remark</td>
            </tr>
            <tr id="table-row-30">
              <td id="table-cell-141" align="left">FBG</td>
              <td id="table-cell-142" align="left">226.5±17.7</td>
              <td id="table-cell-143" align="left">193.1±29.0</td>
              <td id="table-cell-144" align="left">206.6±29.1</td>
              <td id="table-cell-145" align="left">8.53</td>
              <td id="table-cell-146" align="left">0.001</td>
              <td id="table-cell-147" align="left">Significant</td>
            </tr>
            <tr id="table-row-31">
              <td id="table-cell-148" align="left">PPBG</td>
              <td id="table-cell-149" align="left">282.8±20.7</td>
              <td id="table-cell-150" align="left">248.6±36.1</td>
              <td id="table-cell-151" align="left">262.7±33.0</td>
              <td id="table-cell-152" align="left">6.77</td>
              <td id="table-cell-153" align="left">0.002</td>
              <td id="table-cell-154" align="left">Significant</td>
            </tr>
            <tr id="table-row-32">
              <td id="table-cell-155" align="left">TC</td>
              <td id="table-cell-156" align="left">207.9±18.4</td>
              <td id="table-cell-157" align="left">227.5±22.03</td>
              <td id="table-cell-158" align="left">229.2±19.9</td>
              <td id="table-cell-159" align="left">5.66</td>
              <td id="table-cell-160" align="left">0.006</td>
              <td id="table-cell-161" align="left">Significant</td>
            </tr>
            <tr id="table-row-33">
              <td id="table-cell-162" align="left">LDL-C</td>
              <td id="table-cell-163" align="left">122.8±16.8</td>
              <td id="table-cell-164" align="left">149.425.01</td>
              <td id="table-cell-165" align="left">150.7±21.5</td>
              <td id="table-cell-166" align="left">9.16</td>
              <td id="table-cell-167" align="left">0.001</td>
              <td id="table-cell-168" align="left">Significant</td>
            </tr>
            <tr id="table-row-34">
              <td id="table-cell-169" align="left">HDL-C</td>
              <td id="table-cell-170" align="left">46.0±6.87</td>
              <td id="table-cell-171" align="left">42.1±5.68</td>
              <td id="table-cell-172" align="left">44.1±8.6</td>
              <td id="table-cell-173" align="left">1.39</td>
              <td id="table-cell-174" align="left">0.25</td>
              <td id="table-cell-175" align="left">Non – significant</td>
            </tr>
            <tr id="table-row-35">
              <td id="table-cell-176" align="left">VLDL</td>
              <td id="table-cell-177" align="left">38.1±4.70</td>
              <td id="table-cell-178" align="left">35.3±5.99</td>
              <td id="table-cell-179" align="left">33.8±3.9</td>
              <td id="table-cell-180" align="left">3.43</td>
              <td id="table-cell-181" align="left">0.06</td>
              <td id="table-cell-182" align="left">Non significant</td>
            </tr>
            <tr id="table-row-36">
              <td id="table-cell-183" align="left">TG</td>
              <td id="table-cell-184" align="left">186.1±20.5</td>
              <td id="table-cell-185" align="left">170.9±24.7</td>
              <td id="table-cell-186" align="left">168.5±18.2</td>
              <td id="table-cell-187" align="left">4.01</td>
              <td id="table-cell-188" align="left">0.02</td>
              <td id="table-cell-189" align="left">Significant</td>
            </tr>
            <tr id="table-row-37">
              <td id="table-cell-190" align="left">UREA</td>
              <td id="table-cell-191" align="left">30.2±17.04</td>
              <td id="table-cell-192" align="left">25.4±8.47</td>
              <td id="table-cell-193" align="left">25.2±14.3</td>
              <td id="table-cell-194" align="left">0.83</td>
              <td id="table-cell-195" align="left">0.44</td>
              <td id="table-cell-196" align="left">Non-significant</td>
            </tr>
            <tr id="table-row-38">
              <td id="table-cell-197" align="left">CREATININE</td>
              <td id="table-cell-198" align="left">1.18±0.55</td>
              <td id="table-cell-199" align="left">1.12±0.30</td>
              <td id="table-cell-200" align="left">1.13±0.66</td>
              <td id="table-cell-201" align="left">0.11</td>
              <td id="table-cell-202" align="left">0.89</td>
              <td id="table-cell-203" align="left">Nosignificant</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-211">In this analysis HDL-c, VLDL-C, urea and creatinine were not found to be significant. So next analysis was done with those dependent variables which showed significance.</p>
      <p id="paragraph-212"/>
      <table-wrap id="tw-7a49dd2f2cec" orientation="portrait" position="anchor">
        <label>Table 7</label>
        <caption id="c-0a288b037c60">
          <title id="t-b177e77503b3">
            <bold id="s-a1312eee6de5">post HOC LSD statistics applied to examine group difference between lean and non-obese </bold>
          </title>
        </caption>
        <table id="table-7" rules="rows">
          <colgroup/>
          <tbody id="table-section-7">
            <tr id="table-row-39">
              <td id="table-cell-204" align="left">Dependent variables</td>
              <td id="table-cell-205" align="left">weight type (i)</td>
              <td id="table-cell-206" align="left">Weight type(j)</td>
              <td id="table-cell-207" align="left">Mean difference(i-j)</td>
              <td id="table-cell-208" align="left">Std. error</td>
              <td id="table-cell-209" align="left">significance</td>
              <td id="table-cell-210" align="left">Remark</td>
            </tr>
            <tr id="table-row-40">
              <td id="table-cell-211" align="left">FBG</td>
              <td id="table-cell-212" align="left">lean</td>
              <td id="table-cell-213" align="left">Non-obese</td>
              <td id="table-cell-214" align="left">33.4</td>
              <td id="table-cell-215" align="left">8.18</td>
              <td id="table-cell-216" align="left">0.001</td>
              <td id="table-cell-217" align="left">significant</td>
            </tr>
            <tr id="table-row-41">
              <td id="table-cell-218" align="left">PPBG</td>
              <td id="table-cell-219" align="left">lean</td>
              <td id="table-cell-220" align="left">Non-obese</td>
              <td id="table-cell-221" align="left">34.2</td>
              <td id="table-cell-222" align="left">9.70</td>
              <td id="table-cell-223" align="left">0.001</td>
              <td id="table-cell-224" align="left">significant</td>
            </tr>
            <tr id="table-row-42">
              <td id="table-cell-225" align="left">TC</td>
              <td id="table-cell-226" align="left">lean</td>
              <td id="table-cell-227" align="left">Non-obese</td>
              <td id="table-cell-228" align="left">-19.6</td>
              <td id="table-cell-229" align="left">6.38</td>
              <td id="table-cell-230" align="left">0.003</td>
              <td id="table-cell-231" align="left">significant</td>
            </tr>
            <tr id="table-row-43">
              <td id="table-cell-232" align="left">LDL-C</td>
              <td id="table-cell-233" align="left">lean</td>
              <td id="table-cell-234" align="left">Non-obese</td>
              <td id="table-cell-235" align="left">-26.5</td>
              <td id="table-cell-236" align="left">6.77</td>
              <td id="table-cell-237" align="left">0.001</td>
              <td id="table-cell-238" align="left">significant</td>
            </tr>
            <tr id="table-row-44">
              <td id="table-cell-239" align="left">TG</td>
              <td id="table-cell-240" align="left">lean</td>
              <td id="table-cell-241" align="left">Non-obese</td>
              <td id="table-cell-242" align="left">15.2</td>
              <td id="table-cell-243" align="left">6.75</td>
              <td id="table-cell-244" align="left">0.028</td>
              <td id="table-cell-245" align="left">significant</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-255">
        <bold id="strong-9"> </bold>
      </p>
      <p id="paragraph-256"/>
      <table-wrap id="tw-6e98dffa5c9f" orientation="portrait" position="anchor">
        <label>Table 8</label>
        <caption id="c-c9570802ca30">
          <title id="t-9d9b5a3d378d">
            <bold id="s-b3a12f8f1ecb">post HOC LSD statistics applied to examine group difference between lean and obese</bold>
          </title>
        </caption>
        <table id="table-8" rules="rows">
          <colgroup/>
          <tbody id="table-section-8">
            <tr id="table-row-45">
              <td id="table-cell-246" align="left">Dependent variables</td>
              <td id="table-cell-247" align="left">weight type (i)</td>
              <td id="table-cell-248" align="left">weight type (j)</td>
              <td id="table-cell-249" align="left">Mean difference(i-j)</td>
              <td id="table-cell-250" align="left">Std. error</td>
              <td id="table-cell-251" align="left">signifiacnce</td>
              <td id="table-cell-252" align="left">Remark</td>
            </tr>
            <tr id="table-row-46">
              <td id="table-cell-253" align="left">FBG</td>
              <td id="table-cell-254" align="left">lean</td>
              <td id="table-cell-255" align="left">Obese</td>
              <td id="table-cell-256" align="left">19.8</td>
              <td id="table-cell-257" align="left">8.18</td>
              <td id="table-cell-258" align="left">0.018</td>
              <td id="table-cell-259" align="left">significant</td>
            </tr>
            <tr id="table-row-47">
              <td id="table-cell-260" align="left">PPBG</td>
              <td id="table-cell-261" align="left">lean</td>
              <td id="table-cell-262" align="left">Obese</td>
              <td id="table-cell-263" align="left">20.1</td>
              <td id="table-cell-264" align="left">9.70</td>
              <td id="table-cell-265" align="left">0.042</td>
              <td id="table-cell-266" align="left">significant</td>
            </tr>
            <tr id="table-row-48">
              <td id="table-cell-267" align="left">TC</td>
              <td id="table-cell-268" align="left">lean</td>
              <td id="table-cell-269" align="left">Obese</td>
              <td id="table-cell-270" align="left">-21.3</td>
              <td id="table-cell-271" align="left">6.38</td>
              <td id="table-cell-272" align="left">0.001</td>
              <td id="table-cell-273" align="left">significant</td>
            </tr>
            <tr id="table-row-49">
              <td id="table-cell-274" align="left">LDL-C</td>
              <td id="table-cell-275" align="left">lean</td>
              <td id="table-cell-276" align="left">Obese</td>
              <td id="table-cell-277" align="left">-27.8</td>
              <td id="table-cell-278" align="left">6.77</td>
              <td id="table-cell-279" align="left">0.001</td>
              <td id="table-cell-280" align="left">significant</td>
            </tr>
            <tr id="table-row-50">
              <td id="table-cell-281" align="left">TG</td>
              <td id="table-cell-282" align="left">lean</td>
              <td id="table-cell-283" align="left">Obese</td>
              <td id="table-cell-284" align="left">17.6</td>
              <td id="table-cell-285" align="left">6.75.</td>
              <td id="table-cell-286" align="left">0.011</td>
              <td id="table-cell-287" align="left">significant</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-299">
        <bold id="strong-15"> </bold>
      </p>
    </sec>
    <sec>
      <title id="t-6bde72267264"> Discussion:</title>
      <p id="t-b93157201f4e">Type 2 diabetes mellitus accounts for the 85% of the people with diabetes worldwide. Development of the disease is summation of environmental insult to genetically predetermined metabolic disruption. Type 2 diabetes mellitus is characterized by the pathophysiologic abnormalities, impaired insulin secretion, peripheral insulin resistance and excessive hepatic glucose production. Obesity visceral or central is very common in type 2 diabetes mellitus. Low body weight type 2 diabetes mellitus, phenotypically a separate type of type 2 diabetes mellitus is of interest in tropical region. Characterized by its typical age presentation, altered lipid pattern along with some controversial renal involvement, more elevated fasting and post prandial blood glucose at the time of presentation of low body weight type 2 diabetes mellitus in comparison to obese and non obese type distinguishes it further. The increased mortality among lean diabetic smokers has been observed in the general population as well<xref rid="R66226115604727" ref-type="bibr">6</xref>,<xref rid="R66226115604728" ref-type="bibr">7</xref>,<xref rid="R66226115604729" ref-type="bibr">8</xref>,<xref rid="R66226115604730" ref-type="bibr">9</xref>.  A possible explanation for the observed obesity paradox could be sarcopenic obesity, defined as the presence of high body fat with reduced or normal lean body mass<xref id="x-e66e28b2d3d9" rid="R66226115604731" ref-type="bibr">10</xref>. Sarcopenic obesity reduces the cardiopulmonary fitness and physical functioning possibly leading to premature death and could account for the higher mortality eventually seen in individuals who are normal weight at the time of onset of diabetes mellitus<xref id="x-f8bf509902f2" rid="R66226115604732" ref-type="bibr">11</xref>.</p>
      <p id="p-0bdb9fc370d3">C.S. Yagnik <italic id="e-400b7c36b2fc">et al</italic> depicted in his study<xref id="x-bb5f341629d6" rid="R66226115604733" ref-type="bibr">12</xref>  the male preponderance in lean type 2 diabetes mellitus, which is comparative with the sexual distribution in present study which showed 65 %male and 35% female distribution among lean type 2 diabetes mellitus. </p>
      <p id="p-3bd711996129">Body mass index is the single most important predictor of low body weight type 2 diabetes mellitus and other phenotypically different types of type 2 diabetes mellitus. According to Indian authorities and WHO if the body mass index is less than 20.25, type 2 diabetes mellitus is considered as lean body weight. In the present study 17.91 is the mean BMI of type 2 diabetes mellitus belonging to low body group. This is at par with the observation of other and was significantly lower than non obese (23.01) and obese (27.44). </p>
      <p id="p-3f899d33b054">One important observation is that fasting blood glucose in low body type 2 diabetes mellitus is higher (226.5 mg/dl) in comparison to non obese (193.1 mg/dl) and obese ( 206.65 mg/dl). It is consistent with previous large series of observation by S. Das <italic id="emphasis-2">et al<xref id="x-9ab12adc0968" rid="R66226115604734" ref-type="bibr">13</xref></italic>, B.K. Sahay and K.Kannan, V. Seshaish <italic id="emphasis-3">et al<xref id="x-c153d36ba960" rid="R66226115604735" ref-type="bibr">14</xref> </italic><sup id="superscript-6"> </sup> and Sameer Banerjee. Post prandial blood glucose was also higher in case of lean type 2 diabetes mellitus as compared to non obese and obese ( 282.85 mg/dl vs 248.65 mg/dl vs 262.7 mg/dl ). These observation are associated with significantly high mean glycosylated hemoglobin level in lean type 2 diabetes mellitus than non obese and obese cases (9.15 vs 7.81 vs 8.44). This data is consistent bwith studies of S Das and V Sidharta <italic id="emphasis-4">et al<xref id="x-f9903c5944e6" rid="R66226115604736" ref-type="bibr">15</xref> </italic>.In this study using general linear model multivariate with controlling for age and POST HOC LSD, FBG, PPBG and glycosylated hemoglobin was found to be significantly increased in lean compared to non obese and obese. All the above observation suggest that low body weight type 2 patients are having less insulin secretion either4 in fasting state or post prandial state and it is also evident that day to day regulation of insulin secretion is also defective. </p>
      <p id="p-74ac04d6d59d">Hypercholesterolemia i.e. cholesterol level &gt;240 mg/dl (10%) in contrast to hypertriglyceridemia i.e. triglyceride level &gt;200 mg/dl (35%) was less common in low body weight type 2 diabetes mellitus but HDL cholesterol value was not significantly variable in the low body weight as compared to non obese and obese. Lowe incidence of hypercholesterolemia and relatively higher incidence of hypertriglyceridemia in low body weight was also found in studies of K. Kannan, C.S. Yagnik <italic id="emphasis-5">et al<xref id="x-67ec1e755e9c" rid="R66226115604733" ref-type="bibr">12</xref></italic>.</p>
      <p id="p-23dc5c33b0d5">The increased incidence of raised blood urea and serum creatinine was found more in low body weight as compared to other two groups. It is consistent with finding by Sidhartha Das. But this difference was not significant. </p>
      <p id="p-5718f1665fc5">The most characteristics criteria in low body weight type 2 diabetes mellitus i.e. lower body mass index has got increased fasting and post prandial blood sugar values in comparison with non obese and obese patients which reflect decreased beta cell reserve having lesser amount of endogenous insulin secretion. Hypertriglyceridemia, reflecting lower body insulin status is characteristics of low body weight type 2 diabetes and all these findings came out to be significant in our study also. </p>
      <p id="p-46fc96d6fe41"> </p>
      <p id="paragraph-433eda920928"> </p>
      <p id="p-457028e8c6ec"/>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="R66226115604640">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
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